system level radar simulation using model based design...matlab expo 2018, hyderabad rf model...
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MATLAB EXPO 2018, Hyderabad
System level Radar Simulation using
Model based Design
Dr. Dyana A
Scientist ‘D’
Center for Adaptive Sensing Technology (CFAST)
LRDE, DRDO
Bangalore
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MATLAB EXPO 2018, Hyderabad
Introduction
❖ Phased Array Radar System consists of different subsystems
such as Antenna, Waveform, RF, Signal and Data Processing.
❖ The system is also dependent upon external entities such as
target, clutter, jammer and channels.
❖ The system requires a model based design approach for end
to end radar design, analysis and simulation
2© Defence Research and Development Organisation (DRDO), India, 2018
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MATLAB EXPO 2018, Hyderabad
Challenges
Radar
Antenna
RF
WaveformSignal /Image
processing
Environment
❖Multi Domain
❖Multiple Teams
❖ Interdependency among
subsystems
❖ Duplication of work in
multiple projects
3© Defence Research and Development Organisation (DRDO), India, 2018
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MATLAB EXPO 2018, Hyderabad
Challenges
Frequent interactions
Multiple platforms and
simulations
Time and effort
4© Defence Research and Development Organisation (DRDO), India, 2018
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MATLAB EXPO 2018, Hyderabad
Model based design
System Designers
Subsystem Designers
Developers
Researchers
5© Defence Research and Development Organisation (DRDO), India, 2018
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MATLAB EXPO 2018, Hyderabad
Model based design using Simulink
6© Defence Research and Development Organisation (DRDO), India, 2018
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MATLAB EXPO 2018, Hyderabad
Model based design using Simulink
Models Masked using GUIs
7© Defence Research and Development Organisation (DRDO), India, 2018
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MATLAB EXPO 2018, Hyderabad
Antenna array model Features
➢ Antenna element type (standard and custom)
➢ Antenna array arrangement (including conformal)
➢ Derivation of Directivity, Beamwidth, Side lobe levels
➢ Analysis using Radiation patterns (2D & 3D), Grating lobe diagram
8© Defence Research and Development Organisation (DRDO), India, 2018
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MATLAB EXPO 2018, Hyderabad
Waveform model Features➢ Design of different waveforms:
➢ Rectangular
➢ Linear FM
➢ Stepped FM
➢ Stepped Chirp (Custom)
➢ Derivation of range resolution, Doppler resolution, Time Bandwidth product,
unambiguous range, duty cycle etc.
➢ Analysis using spectrum, spectrogram, Ambiguity diagrams
Ambiguity diagram
9© Defence Research and Development Organisation (DRDO), India, 2018
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MATLAB EXPO 2018, Hyderabad
RF model Features
➢ Design of Transmit and Receive modules
➢ Design of RF units using SimRF
➢ Power amplifiers
➢ LNA
➢ Bandpass filters
➢ Attenuators
➢ Phase shifters
➢ Each TR module connected to each antenna element
➢ Simulation at abstract and detailed level
10© Defence Research and Development Organisation (DRDO), India, 2018
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MATLAB EXPO 2018, Hyderabad
BeamformingMatched filtering
Pulse integrator
CFARDoppler
processing
Signal processing model➢ Choice of different algorithms (inbuilt and customized)
➢ Ease of adding novel algorithms
➢ Tunable parameters for simulation
➢ Data export for analysis
➢ Signal and Image Scopes for visualization
11© Defence Research and Development Organisation (DRDO), India, 2018
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MATLAB EXPO 2018, Hyderabad
Environment model
Target
• Point scatters
• RCS
• Swerling
Model
• Position
(Geographical
and Cartesian)
• Velocity
• Acceleration
• Trajectory
Clutter
• Constant
gamma
• Different
terrain models
Jammer
• Barrage
jammer
• Platform
motion
Channel
• Temperature
• Pressure
• Vapour
density
• Rain rate
• Target and
jammer
channel
12© Defence Research and Development Organisation (DRDO), India, 2018
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MATLAB EXPO 2018, Hyderabad
Target modelled with multiple point scatters
Rotating
points
Target
Range Doppler Image
13© Defence Research and Development Organisation (DRDO), India, 2018
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MATLAB EXPO 2018, Hyderabad
System simulation
System specifications Graphical user interface
Simulink model
parameters
Simulation
Results
(Detection, Range Doppler Images)
Matched Filter outputDetection
14© Defence Research and Development Organisation (DRDO), India, 2018
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MATLAB EXPO 2018, Hyderabad
Benefits❖Multi-domain system in a
single simulation using
Simulink
❖ Reduces dependency on
human expertise
❖ Eases subsystem dependency
by using system objects
❖ Reusability in multiple
projects using model based
design and user friendly
means of changing
specifications and design
Radar
Antenna
RF
WaveformSignal /Image
processing
Environment
15© Defence Research and Development Organisation (DRDO), India, 2018
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MATLAB EXPO 2018, Hyderabad
Future Scope
• Modelling of scheduler with simEvents
• Modelling of tracker
• Report generation
16© Defence Research and Development Organisation (DRDO), India, 2018
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MATLAB EXPO 2018, Hyderabad © Defence Research and Development Organisation (DRDO), India, 2018 17